Genome evolution across 1,011 Saccharomyces cerevisiae isolates

作者：Jackson Peter, Matteo De Chiara, Anne Friedrich, Jia‐Xing Yue, David Pflieger, Anders Bergström, Anastasie Sigwalt, Benjamin P. Barré, Kelle C. Freel, Agnès Llored, Corinne Cruaud, Karine Labadie, Jean‐Marc Aury, Benjamin Istace, Kévin Lebrigand, Pascal Barbry, Stéfan Engelen, Arnaud Lemainque, Patrick Wincker, Gianni Liti, Joseph Schacherer · 发表于：Nature · 年份：2018 · DOI：10.1038/s41586-018-0030-5 · 被引用次数：1296 · 研究领域：Fungal and yeast genetics research、Fermentation and Sensory Analysis、Yeasts and Rust Fungi Studies

Large-scale population genomic surveys are essential to explore the phenotypic diversity of natural populations. Here we report the whole-genome sequencing and phenotyping of 1,011 Saccharomyces cerevisiae isolates, which together provide an accurate evolutionary picture of the genomic variants that shape the species-wide phenotypic landscape of this yeast. Genomic analyses support a single ‘out-of-China’ origin for this species, followed by several independent domestication events. Although domesticated isolates exhibit high variation in ploidy, aneuploidy and genome content, genome evolution in wild isolates is mainly driven by the accumulation of single nucleotide polymorphisms. A common feature is the extensive loss of heterozygosity, which represents an essential source of inter-individual variation in this mainly asexual species. Most of the single nucleotide polymorphisms, including experimentally identified functional polymorphisms, are present at very low frequencies. The largest numbers of variants identified by genome-wide association are copy-number changes, which have a greater phenotypic effect than do single nucleotide polymorphisms. This resource will guide future population genomics and genotype–phenotype studies in this classic model system. Whole-genome sequencing of 1,011 natural isolates of the yeast Saccharomyces cerevisiae reveals its evolutionary history, including a single out-of-China origin and multiple domestication events, and provides a framework...